odfpy | API for OpenDocument in Python

welcome to Docker! It can be quite the thing to wrap one's head around, especially when beginning, but you're asking really valid questions that are all pertinent

A great place to start is Docker's own Dockerfile best practices page:

https://docs.docker.com/develop/develop-images/dockerfile_best-practices/

They explain neatly how your each directve (COPY, RUN, ENV, etc) all create additional layers, increasing your containers size. Importantly, they show how to reduce your image size by minimising the different directives. They key to alot of minimisation is chaining commands in RUN statements with the use of &&.

Something else I note in your Dockerfile is one specific line:

According to the exeption and pandas version, the problem could be that you have non-Unicode character(s) in your file, that was suppressed before v1.3. See this bug report comment.

Also, pandas documentation introduced the encoding_errors parameter (encoding_errors str, optional, default “strict”) in version 1.3 to explicitly handle encoding errors. So you should check your file for incorrect characters.

In any case, if you want the behavior prior v1.3, you can use replace (or ignore if it better for your case):

First of all, this navbar is added by Django 3.1+ and not by any other 3rd part packages.

Copy & Pasting from Django 3.X admin showing all models in a new navbar,

From the django-3.1 release notes,

The admin now has a sidebar on larger screens for easier navigation. It is enabled by default but can be disabled by using a custom AdminSite and setting AdminSite.enable_nav_sidebar to False.

So, this is a feature that added in Django 3.1 and can be removed by settings AdminSite.enable_nav_sidebar = False (see How to customize AdminSite class)

You don't have to edit any CSS or HTML file to fix the styling, because Django comes with a new set of CSS and HTML, which usually fix the issue. (That is, it is not recommended to alter the styling file only for this)

If that doesn't work for you, it might be because of your browser cache.

If you are using Chrome,

1. Go to the admin page
2. Ctrl + Shift + i and select Network tab and then tick Disable Cache
3. Refresh the page

Why are you using the windows wheel (PyICU-2.7.3-cp38-cp38m-win_amd64.whl)? You probably need a manylinux wheel.

You can also try pyicu-binary package.

• I can't tell you why, but I can tell you what.

• As noted by Stef: BUG (Performance): Performance of to_csv varies significantly depending on when/how index is set #37484
• date_format='%Y-%m-%d %H:%M:%S' is making the process slow, because it does not seem to be vectorized.
  • This parameter seems to cause the process to write the row to a the file, and then change the format in the file, or it changes the date format, for the row, and then writes it.
  • I can see that this is happening, because I stop the process, and the file is partially written.
• In this case, the time for all the data is 00:00:00, which pandas doesn't display, however if there is a time other than 00:00:00 in the column, then all time components are displayed.
  • If you write to a file without date_format, when all the time components are 00:00:00, the format of the timestamp will be '%Y-%m-%d'.

Upgrading to python 3.7.8 fixed this issue for me.

After 2 hours of searching I now found a solution:

I now found out how to merge cells: you can set numbercolumnsspanned and numberrowsspanned for a TableCell: